Instances›AWS EC2›z1d›z1d.xlarge
Compute
vCPUs4
Memory32 GiB
Mem / vCPU8.00 GiB
ProcessorXeon Platinum 8151
Clock speed4 GHz
Architecturex86_64
Storage
Type1 × 150 GB NVMe SSD
Bandwidth3,170 Mbps
Throughput396.25 MB/s
IOPS13,333
Networking
PerformanceUp to 10 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
z1d.large2 vCPU · 16 GiB
z1d.xlarge4 vCPU · 32 GiB
z1d.2xlarge8 vCPU · 64 GiB
z1d.3xlarge12 vCPU · 96 GiB
z1d.6xlarge24 vCPU · 192 GiB
z1d.12xlarge48 vCPU · 384 GiB
z1d.metal48 vCPU · 384 GiB
z1d.xlarge

The z1d.xlarge pairs 4 vCPU with 32 GiB of RAM, the 8.00 GiB-per-vCPU ratio that marks a memory-optimized instance. In the name, "z" is high clock frequency, "1" is the generation, "d" marks local NVMe storage and "xlarge" is the size within the z1d family. It runs on Intel Xeon Platinum 8151 at 4 GHz, and AWS introduced it in July 2018. z1d is the current generation of the z family, so there is no newer AWS size to migrate to. mh.vs1.large on Rackspace Spot lines up one-for-one: 4 vCPU and 32 GiB, about 94% below the US East (N. Virginia) on-demand rate.

Match qualityNo local disk

z1d.xlarge comes with 1 × 150 GB NVMe SSD attached to the machine. Rackspace Spot nodes use network storage only, so that disk does not come with it.

If you were using the local disk as fast scratch space — temporary files, a local cache, an index — you will need a persistent volume or object storage instead, and both are slower to read. If it was just extra space you never depended on, nothing changes.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$0.372$0.095$0.234$0.153$0.021
$0.351 savings
US Central, Chicagono AWS region$0.061
US Central, Dallasno AWS region$0.021
Hong Kong$0.006
Sydney, Australia$0.452$0.111$0.285$0.188$0.006
$0.446 savings
London, UK$0.439$0.108$0.277$0.185$0.006
$0.433 savings
US West, San Jose$0.422$0.115$0.266$0.182$0.061
$0.361 savings
US Central, Dallas 2no AWS region$0.061
When to use it
Good for
  • ●OLAP and business intelligence query engines
  • ●Real-time analytics over hot datasets
  • ●Database instances that keep the working set in RAM
  • ●Workloads that fit inside 32 GiB of RAM
  • ●Jobs that want 1 × 150 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at Up to 10 Gigabit
Avoid if
  • ●The working set needs more than 32 GiB of RAM
  • ●More than 8.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
  • ●GPU or FPGA acceleration is needed
  • ●CPU-bound work. You are paying for memory this workload will not use.
$272/mo on AWS on-demand against $15/mo on Rackspace Spot for the equivalent — market-priced, not list-priced.
  • Spot sells spare capacity at market prices. It is the cheapest compute on the internet.
  • Prices are set by supply and demand. You pay what the market decides.
  • Compute is delivered as fully managed Kubernetes. All infrastructure is taken care of.
  • Egress costs $0.01/GB after the free allowance. AWS charges $0.09/GB.
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